Mathieu Carrière
Mathieu Carrière
Inria Sophia Antipolis
Verified email at inria.fr
Title
Cited by
Cited by
Year
Sliced Wasserstein Kernel for Persistence Diagrams
M Carrière, M Cuturi, S Oudot
Proceedings of the 34th International Conference on Machine Learning, 664-673, 2017
1532017
Stable Topological Signatures for Points on 3D Shapes
M Carrière, S Oudot, M Ovsjanikov
Computer Graphics Forum 34 (5), 1-12, 2015
912015
Structure and Stability of the One-dimensional Mapper
M Carrière, S Oudot
Foundations of Computational Mathematics 18 (6), 1-64, 2017
692017
Statistical Analysis and Parameter Selection for Mapper
M Carrière, B Michel, S Oudot
Journal of Machine Learning Research 19 (1), 478-516, 2018
492018
Perslay: A neural network layer for persistence diagrams and new graph topological signatures
M Carrière, F Chazal, Y Ike, T Lacombe, M Royer, Y Umeda
International Conference on Artificial Intelligence and Statistics, 2786-2796, 2020
44*2020
Local Equivalence and Intrinsic Metrics between Reeb Graphs
M Carrière, S Oudot
Proceedings of the International Symposium on Computational Geometry 77, 2017
182017
On the Metric Distortion of Embedding Persistence Diagrams into separable Hilbert spaces
M Carrière, U Bauer
Proceedings of the International Symposium on Computational Geometry, 2018
16*2018
Persistent homology based characterization of the breast cancer immune microenvironment: a feasibility study
A Aukerman, M Carrière, C Chen, K Gardner, R Rabadán, R Vanguri
36th International Symposium on Computational Geometry (SoCG 2020), 2020
102020
Two-Tier Mapper, an unbiased topology-based clustering method for enhanced global gene expression analysis
R Jeitziner, M Carrière, J Rougemont, S Oudot, K Hess, C Brisken
Bioinformatics, 2019
10*2019
Local Signatures using Persistence Diagrams
M Carrière, S Oudot, M Ovsjanikov
92015
Multiparameter Persistence Images for Topological Machine Learning
M Carrière, A Blumberg
Conference on Neural Information Processing Systems, 2020
82020
Topological Data Analysis of Single-cell Hi-C Contact Maps
M Carrière, R Rabadan
Abel Symposium, 2018
72018
Optimizing persistent homology based functions
M Carriere, F Chazal, M Glisse, Y Ike, H Kannan, Y Umeda
International Conference on Machine Learning, 1294-1303, 2021
52021
Persistence representations
P Dlotko, M Carriere, M Royer
GUDHI User and Reference Manual], GUDHI Editorial Board, 2017
52017
Local Equivalence and Induced Metrics for Reeb Graphs
M Carriere, S Oudot
Proceedings of the 33rd Symposium on Computational Geometry, 2017
52017
MREC: a fast and versatile framework for aligning and matching point clouds with applications to single cell molecular data
AJ Blumberg, M Carriere, MA Mandell, R Rabadan, S Villar
arXiv preprint arXiv:2001.01666, 2020
32020
CGAL 2D Hyperbolic Delaunay Triangulations
M Bogdanov, I Iordanov, M Teillaud, M Bogdanov, A Pellé, ...
CGAL Editorial Board, 2019
32019
A note on stochastic subgradient descent for persistence-based functionals: convergence and practical aspects
M Carriere, F Chazal, M Glisse, Y Ike, H Kannan
22020
Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs
T Lacombe, Y Ike, M Carriere, F Chazal, M Glisse, Y Umeda
arXiv preprint arXiv:2105.04404, 2021
12021
Statistical analysis of Mapper for stochastic and multivariate filters
M Carrière, B Michel
arXiv preprint arXiv:1912.10742, 2019
12019
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